TensorFlow Review

TensorFlow OUR SCORE 90%
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our score 90%
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  1. What is TensorFlow
  2. Product Quality Score
  3. Main Features
  4. List of Benefits
  5. Technical Specifications
  6. Available Integrations
  7. Customer Support
  8. Pricing Plans
  9. Other Popular Software Reviews

What is TensorFlow?

TensorFlow is a symbolic math library built for machine learning operations. Once exclusive to Google Brain, this app is now an open-source platform that receives continuous updates and is extensively used. TensorFlow can handle tasks like supplying precise search results, identify places in photos and voices, and providing on-point translations. While the app has mostly been used for Google apps, TensorFlow has been trusted for many tasks and uses after its open source transition. The app allows teams and users to create their own smart apps and obtain intelligent output based on data and foundations that make sense.

Product Quality Score

Features
9.0
Ease of use
9.1
Customer support
8.9
Value for money
9.0
9
TOTAL SCORE

TensorFlow features

Main features of TensorFlow are:

  • TensorBoard
  • Jupyter Notebooks
  • Facets
  • Serving System
  • Debugger
  • APIs
  • Third-Party Packages
  • Transfer Learning

TensorFlow Benefits

Benefits

The main benefits of TensorFlow are its high-quality development history which translates to most of its features, continuous updates, and its open source compatibility which makes its output flexible for any other app

Rapid Updates

The first TensorFlow version 1.0 was released back in February 2017, and along with it is a large toolset of fresh and advanced features. As a Google team and a slew of external contributors worked on this app, developers and users worldwide can have access to the best innovations in machine learning and cognitive reasoning.

Cross-platform Program

TensorFlow is best on GPUs but the app can take power from CPUs without any dedicated graphics processor. This feature allows developers and programmers with few resources to make projects on this platform.

Moreover, TensorFlow can be used on Android and iOS devices. Developers that are always on the move or those who want to make models for mobile viewing can do so easily with this app.

Eager Execution

TensorFlow has recently added eager execution into its systems. This tool simplifies the debugging process and makes building and training dynamics graphs. Adding to these advantages, users can easily check and debug their graphs and even use the Python control flow as part of the platform’s APIs.

Broad Ecosystem

TensorFlow is supported by a large ecosystem containing many tools and software libraries that help developers work efficiently. One of these tools is the TensorBoard, a large host of web apps that can drill down on graph subsections and check on their details.

Technical Specifications

Devices Supported

  • Web-based
  • iOS
  • Android
  • Desktop

Customer types

  • Small business
  • Medium business
  • Enterprise

Customer Support Types

  • Phone
  • Online

TensorFlow Integrations

The following TensorFlow integrations are currently offered by the vendor:

  • API

Customer Support

Online

Pricing Plans

TensorFlow pricing is available in the following plans:

Free trial
TensorFlow
Free
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